Fermi-LAT stacking analysis technique: an application to extreme blazars and prospects for their CTA detection
| dc.contributor.author | Paliya, Vaidehi | |
| dc.contributor.author | Domínguez Díaz, Alberto | |
| dc.contributor.author | Ajello, Marco | |
| dc.contributor.author | Franckowiak, Anna | |
| dc.contributor.author | Hartmann, Dieter | |
| dc.date.accessioned | 2023-11-06T18:06:25Z | |
| dc.date.available | 2023-11-06T18:06:25Z | |
| dc.date.issued | 2019 | |
| dc.description.abstract | We present a likelihood profile stacking technique based on the Fermi-Large Area Telescope (LAT) data to explorethe γ-ray characteristics of Fermi-LAT undetected astrophysical populations. The pipeline is applied to a sample of γ-ray unresolved extreme blazars, i.e., sources with the highest synchrotron peak frequencies (nu(peak)(Syn) >= 10(17) Hz), and we report a cumulative γ-ray detection with more than 32σ confidence for 2 degrees of freedom. Comparing the generated stacked γ-ray spectrum with the sensitivity limits of the upcoming Cherenkov Telescope Array (CTA), we find that the Fermi-LAT undetected population of such extreme blazars, on average, may remain well below the CTA detection threshold due to their faintness and extragalactic background light (EBL) absorption. However, γ-ray detected blazars belonging to the same class are promising candidates for CTA observations. The EBL-corrected stacked spectra of these sources do not show any softening up to 1 TeV. This finding suggests the inverse Compton peak of extreme blazars lies above 1 TeV, thus indicating a hard intrinsic TeV spectrum. Our analysis also predicts that at 100 GeV, at least ∼10% of the diffuse extragalactic γ-ray background originates from the γ-ray undetected extreme blazars. These results highlight the effectiveness of the developed stacking technique to explore the uncharted territory of γ-ray undetected astrophysical objects. | en |
| dc.description.department | Depto. de Estructura de la Materia, Física Térmica y Electrónica | |
| dc.description.faculty | Fac. de Ciencias Físicas | |
| dc.description.faculty | Instituto de Física de Partículas y del Cosmos (IPARCOS) | |
| dc.description.refereed | TRUE | |
| dc.description.sponsorship | Department of Energy (Estados Unidos) | |
| dc.description.sponsorship | National Aeronautics and Space Administration | |
| dc.description.status | pub | |
| dc.identifier.citation | Paliya, Vaidehi S., et al. «Fermi-LAT Stacking Analysis Technique: An Application to Extreme Blazars and Prospects for their CTA Detection». The Astrophysical Journal Letters, vol. 882, n.o 1, septiembre de 2019, p. L3. https://doi.org/10.3847/2041-8213/ab398a. | |
| dc.identifier.doi | 10.3847/2041-8213/ab398a | |
| dc.identifier.essn | 2041-8213 | |
| dc.identifier.issn | 2041-8205 | |
| dc.identifier.officialurl | http://dx.doi.org/10.1088/10.3847/2041-8213/ab398a | |
| dc.identifier.relatedurl | https://iopscience.iop.org/article/10.3847/2041-8213/ab398a | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14352/88603 | |
| dc.issue.number | 1 | |
| dc.journal.title | The Astrophysical Journal Letters | |
| dc.language.iso | eng | |
| dc.page.total | 5 | |
| dc.publisher | IOP Publishing | |
| dc.relation.projectID | info:eu-repo/grantAgreement/DOE//DE-AC02-76SF00515 | |
| dc.relation.projectID | info:eu-repo/grantAgreement/NASA//80NSSC18K1718 | |
| dc.rights.accessRights | restricted access | |
| dc.subject.cdu | 52 | |
| dc.subject.keyword | BL lacertae objects | |
| dc.subject.keyword | Active galaxies | |
| dc.subject.keyword | Egret upper limits | |
| dc.subject.keyword | Objects | |
| dc.subject.ucm | Astrofísica | |
| dc.subject.unesco | 21 Astronomía y Astrofísica | |
| dc.title | Fermi-LAT stacking analysis technique: an application to extreme blazars and prospects for their CTA detection | en |
| dc.type | journal article | |
| dc.type.hasVersion | VoR | |
| dc.volume.number | 882 | |
| dspace.entity.type | Publication | |
| relation.isAuthorOfPublication | c473f61c-0151-4100-8759-961fe2dd9ab8 | |
| relation.isAuthorOfPublication.latestForDiscovery | c473f61c-0151-4100-8759-961fe2dd9ab8 |
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